Sr. Devops Engineer | Berkeley heights, NJ - 5 days onsite | Contract W2

Job summary

The Sr. DevOps Engineer is tasked with designing, implementing, and automating enterprise-scale infrastructure and platform solutions across hybrid cloud and on-premises environments. Key responsibilities include managing Linux-based infrastructure, administering OpenShift and Kubernetes, developing automation solutions with Ansible, and supporting data streaming platforms like Kafka and Flink to ensure high availability and performance.

Qualifications

• 6+ years of experience in DevOps, Infrastructure Engineering, Site Reliability Engineering, or Platform Engineering roles
• Strong expertise in Linux systems administration (RHEL)
• Hands-on experience with OpenShift and Kubernetes administration in enterprise environments
• Extensive experience with Ansible automation and Infrastructure-as-Code methodologies
• Strong experience supporting Kafka, Flink, MongoDB, and Spark/Cloudera platforms
• Experience managing Linux virtual machines and virtualization platforms
• Experience with CI/CD tools and automated deployment pipelines
• Strong scripting skills using Bash, Python, or similar languages
• Experience with monitoring and logging platforms such as Splunk

Responsibilities

• Design, deploy, configure, and maintain enterprise Linux-based infrastructure environments
• Administer and optimize Red Hat/OpenShift and Kubernetes container platforms
• Manage Linux virtual machine environments across VMware, KVM, or cloud-based virtualization platforms
• Implement highly available, fault-tolerant, and scalable infrastructure architectures
• Perform capacity planning, performance tuning, and infrastructure optimization
• Build and maintain Kubernetes/OpenShift clusters for production and non-production environments
• Automate deployment pipelines and container lifecycle management
• Develop automation solutions using Ansible for provisioning, patching, configuration management, and application deployment
• Administer and support Apache Kafka clusters including brokers, topics, partitions, replication, and security
• Implement enterprise monitoring, logging, and observability solutions using Splunk and related tooling
• Implement infrastructure hardening, RBAC, secrets management, and container security best practices

Skills

Degrees

Relocation